Influencer marketing is a powerful growth channel for mobile apps, offering authenticity that traditional performance marketing lacks. To build a successful strategy, ad ops decision-makers must first define target markets and estimate CPMs—$20–40 for YouTube English-speaking audiences. Set install goals by targeting a 25% increase above baseline daily organic installs, accounting for long-tail views (50% in first 7 days).
Budget is calculated as (minimum views needed / 1000) * target CPM. Choose influencers via manual search, self-service platforms, MCNs, or agencies, prioritizing data over instinct: evaluate audience demographics, recent average views, content verticals, CPMs, prior performance, and brand safety. Platforms like YouTube often yield best results due to high engagement and conversion rates.
Craft campaigns with clear deliverables (e.g., 45–60 second integration, early placement, CTAs in description and pinned comment). Compensation should be based on average views per video, not vanity metrics; flat-fee models are common, but performance-based models (CPM with a performance window) can mitigate risk. Measurement is critical: use smart linking solutions like AppsFlyer OneLink to attribute installs, events, and revenue per influencer, campaign, and channel.
Track granular metrics—installs, conversion rates, retention, ROI—via customizable dashboards. Avoid comparing influencer results to standard UA benchmarks; use your own past campaigns as baselines. Key dos: keep briefs short, allow creative freedom, avoid brand safety risks.
Don’ts: rely on gut feelings, overspend on mismatched creators, evaluate based on single campaigns. Long-term partnerships depend on first-collaboration performance; avoid oversaturation by spacing out content. Overall, influencer marketing requires strategic planning, accurate measurement, and iterative optimization to unlock its full potential.
Web-to-app strategies boost conversions by 77% and achieve 13.6% average paying user rate. Brands like adidas saw 2.4x higher ROAS from deep-linked users, while AirAsia improved bookings by 19%. Key challenges include measurement gaps, siloed teams, and onboarding friction. Solutions involve Google Ads Web-to-App Install and Web to App Connect with AppsFlyer Smart Banners and deep linking. Actionable steps: set tracking, import conversions, activate smart bidding, and deep link users.
The mobile advertising industry is optimistic heading into 2025, with 80% of marketers expecting the year to be as strong or stronger than 2024. Non-gaming apps are driving growth, with downloads up 12% YoY and IAP revenue increasing 20%+. Marketers are prioritizing profitability and ROAS, with over half reporting more aggressive KPIs. Generative AI is already benefiting creative production and optimization. iOS re-engagement remains underleveraged, and most marketers are still adapting to SKAN. Budgets are increasing, with a focus on ad networks and self-attributing networks.
AppsFlyer MCP connects Claude directly to live attribution data, replacing manual reporting and CSV exports. Gaming teams catch budget anomalies overnight, finance teams compress multi-hour analysis into minutes, and e-commerce teams close the gap between measurement and spend decisions. Setup takes under 60 seconds, enabling real-time queries on channels, cohorts, and ROAS. The key insight is that AI-powered analysis requires live data connections, not stale exports.
Ad metrics are essential for optimizing campaigns in a market with rising costs (CPL up 25%, CPC up 10%). Key metrics include impressions, CPM, CTR, CPC, ROAS, CPA, and LTV. Mobile ads require unique metrics like app installs, retention, and stickiness. Best practices: align metrics with campaign goals, choose channels wisely, and partner with an MMP. Future trends include privacy-preserving measurement and AI-driven optimization.
This guide demystifies mobile marketing acronyms for ad ops. Key pricing models include CPM for awareness, CPC for traffic, CPI for installs, and CPE for engagement. Mintegral's Target CPE and Target ROAS optimize for conversions and ROI. Platforms like DSP, SSP, and RTB automate buying and selling. Attribution relies on MMPs, SKAN, and MMM. Metrics such as MAU, DAU, LTV, and ARPU track performance. Monetization models (IAA, IAP, hybrid) and ASO/CTV are also covered. Actionable takeaway: choose pricing and tracking based on campaign goals.
Marketing mix modeling (MMM) is re-emerging as a privacy-compliant complement to attribution, helping mobile marketers evaluate the impact of media spend, pricing, ASO, and promotions on installs and revenue. Unlike traditional media mix modeling, MMM includes non-media levers. Combined with incrementality testing and predictive analytics, MMM provides a high-level view of performance without relying on user-level data, making it essential for modern measurement stacks.
Mintegral's retargeting platform re-engages dormant users via CPI, CPE, and ROAS bidding models. Key insights: retargeted users convert 50% more often than first-time visitors and are 3x more likely to engage, with over 50% completing actions within a week. The platform supports both gaming and non-gaming apps, offers 60%+ match rate, and integrates seamlessly with UA campaigns for lifecycle optimization.
OneLink API 2.0 turns deep link creation into scalable infrastructure, addressing the surge in owned-media conversions (67% growth) and web-to-app journeys (250%+). It adds programmatic QR generation, custom TTL controls, and an upgraded developer experience. For ad ops decision-makers, this means automating personalized links across channels, improving conversion rates, and enabling measurable offline-to-app acquisition—without manual overhead or separate vendors.
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